Posted by **AlenMiler** at July 31, 2015

English | June 25, 2014 | ISBN: 1783983906 | 165 Pages | EPUB/MOBI/PDF (True) | 13.08 MB

NumPy is an extension of Python, which provides highly optimized arrays and numerical operations. NumPy replaces a lot of the functionality of Matlab and Mathematica specifically vectorized operations, but in contrast to those products is free and open source. In today's world of science and technology, it is all about speed and flexibility.

Posted by **AlenMiler** at Aug. 2, 2015

English | 25 Jun. 2015 | ISBN: 1785281968 | 348 Pages | EPUB/MOBI/PDF (True) | 17.89 MB

In today's world of science and technology, it's all about speed and flexibility. When it comes to scientific computing, NumPy tops the list. NumPy will give you both speed and high productivity.

Posted by **FenixN** at Jan. 3, 2017

HDRips | MP4/AVC, ~828 kb/s | 1280x720 | Duration: 01:05:16 | English: AAC, 128 kb/s (2 ch) | 362 MB

At the end of this course, you will have a thorough understanding of Numpy' s features and when to use them. Numpy is mainly used in matrix computing. We'll do a number of examples specific to matrix computing, which will allow you to see the various scenarios in which Numpy is helpful. There are a few computational computing libraries available for Python. It's important to know when to choose one over the other. Through rigorous exercises, you'll experience where Numpy is powerful and develop and understanding of the scenarios in which Numpy is most useful. You'll also know how to install Numpy.

Posted by **U.N.Owen** at Oct. 7, 2016

Size: 606 MB | Duration: 3h 54m | Video: AVC (.mp4) 1280x720 15&30fps | Audio: AAC 48KHz 2ch

NumPy Data Science Essential Training introduces the beginning to intermediate data scientist to NumPy, the Python library that supports numerical, scientific, and statistical programming, including machine learning.

Posted by **interes** at Sept. 25, 2016

English | ISBN: 1783987707 | 2015 | 136 pages | PDF | 3,5 MB

Posted by **roxul** at June 4, 2016

English | ISBN: 1783987707 | 2015 | 136 pages | EPUB, True PDF | 7 MB

Posted by **AlenMiler** at Feb. 22, 2016

English | Feb. 11, 2016 | ISBN: 1783983264 | 354 Pages | AZW3/MOBI/PDF (conv) | 38.34 MB

Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python.

Posted by **nebulae** at April 3, 2015

English | ISBN: 1783987707 | 2015 | 136 pages | EPUB + True PDF | 4 + 4 MB

Posted by **ChrisRedfield** at Jan. 15, 2015

Published: 2012-10-25 | ISBN: 1849518920 | EPUB + MOBI | 226 pages | 10 MB

Posted by **AlenMiler** at Oct. 30, 2014

O'Reilly Media; 1 edition | November 22, 2012 | English | ISBN: 1449305466 | 82 pages | PDF | 6 MB

Are you new to SciPy and NumPy? Do you want to learn it quickly and easily through examples and a concise introduction? Then this is the book for you. Youâ€™ll cut through the complexity of online documentation and discover how easily you can get up to speed with these Python libraries.